Senior DevOps Engineer — Cybersecurity business unit
Senior DevOps engineer for DriveNets' cybersecurity unit, owning the Kubernetes delivery platform for an AI-powered security product: portable Helm charts, self-hosted operators (PostgreSQL, Kafka, Elasticsearch, Redis), ArgoCD GitOps, zero-downtime releases, observability, and LLM/GPU inference infrastructure, often in air-gapped customer environments.
- Compensation
- Not disclosed
- Location
- Tel Aviv, Israel
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5+ years of DevOps / platform engineering experience in a product company
- Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control
- Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering
- Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch)
- Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry
- Comfortable operating in air-gapped environments without managed cloud services
- Strong cross-functional collaboration with AI/ML Ops, backend, research, and solutions teams on customer onboarding
- Comfortable owning production reliability and on-call responsibilities
Nice to have
- Experience with OpenShift, KEDA, and Temporal
- Hands-on AI inference infrastructure: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar)
- GPU scheduling and node readiness, model packaging for offline delivery
- Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse)
Full description
Senior DevOps Engineer - Cybersecurity
Hybrid | Israel
About the Company
DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises.
Responsibilities
- Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).
- Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.
- Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.
- Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.
- Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.
- Provide on-call support for dev/staging environments and customer stamps.
- Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs.
- Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.
Requirements
Technical Skills
- 5+ years of DevOps / platform engineering experience in a product company.
- Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control.
- Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering.
- Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch).